Torrent Downloads » Other » [ DevCourseWeb com ] Udemy - OpenAI Python API Bootcamp - Learn to use AI, GPT3, and more!
Other
[ DevCourseWeb com ] Udemy - OpenAI Python API Bootcamp - Learn to use AI, GPT3, and more!
Torrent info
Torrent Files List
Get Bonus Downloads Here.url (Size: 3.21 GB) (Files: 347)
Get Bonus Downloads Here.url
~Get Your Files Here !
1. Welcome to the course!
1. FAQs, Course Files, How to Get Help.html
2. Course Curriculum Overview.mp4
3. OpenAI Overview.mp4
4. Crash Course How does GPT work.mp4
5. Crash Course How does DALLE work.mp4
6. OpenAI Account Set-up.mp4
7. AI Safety and Alignment.mp4
8. OpenAI Pricing.mp4
OpenAI-API-Python-Course
01-NLP-to-SQL
NLP-to-SQL-Lecture.ipynb
data
sales_data_sample.csv
db_utils.py
main.py
openai_utils.py
sales_data_sample.csv
02-Auto-Exam-Creator
Test-Generation-Lecture.ipynb
exam_simulator.py
main.py
teacher.py
test_creator.py
03-Auto-Recipe-Creator
Recipe-Generator-Lecture.ipynb
dalle.py
main.py
recipe.py
04-Auto-Blog-Post
04-BlogPost.ipynb
blog_utils.py
ipynb_checkpoints
04-BlogPost-checkpoint.ipynb
main.py
openai_utils.py
05-Reddit-Sentiment-Analysis
05-Analysis.ipynb
06-Code-Explainer
06-Docstring-Generator.ipynb
functions.py
functions_withdocstring.py
main.py
07-Translation
00-Translation-and-Summary.ipynb
ipynb_checkpoints
00-Translation-and-Summary-checkpoint.ipynb
main.py
08-Chat-Bot-with-Fine-Tuning
Chatbot-with-Fine-Tuning.ipynb
EXTRA-Prepare-Data-from-Kaggle.ipynb
example_training_data.json
ipynb_checkpoints
Chatbot-with-Fine-Tuning-checkpoint.ipynb
python_qa.csv
training_data.json
09-Text-Embedding
Question-Answering-with-Embedded-Context.ipynb
ipynb_checkpoints
Question-Answering-with-Embedded-Context-checkpoint.ipynb
main.py
unicorns.csv
unicorns_with_embeddings.csv
PT Centered Purple.png
git
COMMIT_EDITMSG
FETCH_HEAD
HEAD
ORIG_HEAD
config
description
hooks
applypatch-msg.sample
commit-msg.sample
fsmonitor-watchman.sample
post-update.sample
pre-applypatch.sample
pre-commit.sample
pre-merge-commit.sample
pre-push.sample
pre-rebase.sample
pre-receive.sample
prepare-commit-msg.sample
push-to-checkout.sample
update.sample
index
info
exclude
logs
HEAD
refs
heads
main
remotes
origin
HEAD
main
stash
objects
00
cb1b37aeec15c50c82257a62027ef8e8636978
02
36dc93429b814b425ce33202ae81abee830b2c
03
5cb97577e57c7a2850a4fbc70da2a95b822ba3
05
288253ba38ddcbab0d891a63d63df05ffcc7d5
fabee43a058c761236999db8efa95762c5238d
07
7b30ba85a1f077d15802d8a378947a4564bfec
ad3fec1f287b659c8b4d7ada832d478b6d644c
08
a120a8efd1786451a34b158f3f5d804238b304
0a
76760d3f072829e7303f0adf440783563889f0
a2819c911aa616347dcd0b2e6b540a883815db
0b
39909dfb3f938b469d6dca2ea9cf666347a4a1
f42db9b473a189f57553aa28059c7f63d3339c
0f
934866e42e3be0d14f77ce97ebc0e5bab7e30b
10
d973cb4964575555be7444ee4a8caf9319edfa
11
dbd72e5729697c7917321167b346119a30bb67
12
8518b8e2f795b86829fa052f5ed3853ded223f
13
12c6a7b128271e7ba486d899273d3a0be2ad66
14
1a49ce57d3adb89aec45b98508a014cb5e3b84
15
09170cd92b74c064c8f91a52a5bc093ebb8a8c
66e643d708ebbe9bf65f8565ce10e99bbdaba2
a83f1112e7eff1e818f6c213b2f8b6cf56bd5d
a8d41e62c9a1b9dc52f7e7f16eccadf30f82b1
da642b39b66b3237fb0f2c146dec0576f5cf5a
17
bcaec88098d69478eff24b1ccb10d95dd833ff
dfd3e3d27f3e7aca014661771c30dbf785910d
18
7a8723c38d6d6c258d1567f7a216b71c5b13ff
8f1c92cdf8432288179581ca5821710929cec8
19
12554358faba1221b4471481397675a7c68f75
7fe9e1be6ff04f78261df831f76ea0240d601d
e24be0111106b76f3df2c11f25a697dd362ed2
e415b22de486abbf54fb4752124636c0cb8e4a
1a
adfbe581eacf7ad97df79433195dbc0c0fce6a
c978cbec6eb811d62fe4a703d4550652bd7f38
1d
88138ce1cb871cbddfbfbd01a398232b3a8f08
a97d850102f7d8958b56b8ed696e6e3d6c3dd2
21
18c7bb948893949188b91963d40593a4351151
23
36862fa8160122c3369934ff32a925659ee306
4504dbbf8b49b01f1b0358911b76985c0a9942
bb894b3331f877ce72563d43db88fff0c8e17b
da3b4ff1ad3e8cfa9edd7f823cc56b049ad847
24
39da5452b0648de7d441c72322204d9bf83036
6de30288a6f339c133151479996e1b2c026d28
25
e0e169d9042b3004c9dd671140d29f6fb35312
28
ce01cc71fbd90fbdfba235ed0d7bf57ca1a2b6
29
b367444d8556ee83b7b092b9ed3f1f6592e804
ecce846a79969ce5bb22bcb44d16299acf87bb
2a
8d03bc24fe25cd55751206b6d13abe2cebd25b
2c
0c0f2848cafd973abed689d385a6beda4749d0
439142fc30661672d358b06b8961716a2c3ed9
ef3161d5392968a76a4f3e4a26929adf718773
2e
0d368007a547f59ba9dfd80a56bb7d0acc9798
ab02f99d966cf9c0de12b57ad59c97b2cf3aab
2f
5756ee4d030c70dad8c4ab0dfd970a4e0ae5cb
efcafdb225d02061a8773a7d55f42e0d851f64
30
7d0960ae842eeb1a7dd20818d385afdd081da3
d50789902e8485056e622b59edc44236d6a570
35
8333a0e239ed11a17571ded0872b5c09628560
c4c5f637c8e6d4b41fbede6096dde4e0f47847
36
00e90173564ef8d63976cc45939914d94444d4
c0a943167557b0ccc214d77aac46214cc7836d
f7a62f8dc8e155e170407c0456d4e4b8f8960d
38
4eacf70082aaa249693675d52f9324e5bcd615
b131c1e845e67fb29e4d45c2b65301a4f0c504
3b
69eeb50ec5c53c7201280ecacbd58fddaf6227
7bec67b530cc4e97e1def89a81d04cf9da5767
3c
4a81339dcf9fa5b329f988a8bad8df3c70f726
842f9c0db83b8a7c0e620d7c3717ccf094db05
3d
dfc8aac51b003634e518e31ba5515f0c2edad7
3e
1ac6226970fbfa5585328716ddaf79e58af1aa
40
623327b9e016db9fa509751af47f8c9bd1be52
44
2bb277ce5451f0e69714ddcf470b0bc9a48ba4
deb236d61a543e0ad726a9f2645b5a70f12252
47
662ab496399bedb064c37ba5e69464608c9286
48
99e30b56a3fc9f19eb024545cb98f1395ffa8f
49
ec149ff84080c3fe8e21d43f45a6da739e3296
4b
8049526b18dfe2378383970ced2a9a77c7ef7b
dde5d922ac69293485c9824f6b31102f4a6e4c
4c
3e07020dcc559910f24c65c8c6d1a0f78d85ee
4d
f2a10f7665123c50e59617ba9639de40187f64
50
c9f7ba7d537672107f2831932e2444c3b019f6
51
419d99d300c08bb048a2025b2e190acb756eda
4feb4e69b037ee5090879dbb7864f5b22c02e6
95cc2ede994973181e7242cbafb7ffaed49ce5
53
962625c5a72dd701a2df467fd203ea842b07f2
eb8b2235c7b27288db5965b1b8f5f5444a0cb6
f2e9dff3879545985694a4b02dc4f190fbf249
f951d263a46faeb517932c4c2966d8303d8989
57
2c0b8e0b207a7e5880de087dc674d897b28616
bbecebaa9b5680b7c0497e8e5cf0307952def8
59
8a920d365048cc68cd74e9011b3076c7a6f3f7
5a
e66d4ca17537adb380ce552a70b464c47d3ec6
5b
ebc722bc2da362b7d627aca919f700efc5882d
f6d9b137b294fccea26f26d9b9f69cf4475b76
5c
02fefe5f795d2b36ea7ead42f50d6a9c8b7d88
909a02539361722735a9313850306905339731
5d
9def463e3f6ee5e1ee7837ac603ed391cfc210
5e
a5cd4776ba4a117febdc80619732c332becf4a
5f
a547169269c7f1ea1631d06634fd17b6746293
61
52e669bb8b9e2da49cb0b031983980dd3acd42
62
7dbf1bc3abb8b69ae177513fbf1ce03d62ce45
63
b593b11cf89253a8d2af7ab064e4179d649a3c
bf01ebbad1ef6f05911cde6716fdfbb37bb4e0
db31ee98e934fc8ca4d5bca125b336637d236b
66
1b2cbe4d41f82adb8daec7cd779ecb0f909c91
c075434b155fdb866cb05e69772eadcc290717
edb89856fa1022d3e9fccc0cc859a53eb58c8a
67
04414c93a2b7b40f3ca963cd4c4dbca4d846b9
cf10dd8bbf34e2e39e1d15edb9d282010193e4
e2e3a24d8d35cb01ed081d0fdb4602939c9d23
68
906ef21d3cd21d645ad5a01d98b2335ba0ad23
6a
d575cc75eae03b26dc1a5976a4aaea6875e6af
6c
577601e14d95bd98cef6178844366d53e94abd
6e
a00f90624fdeb807dadf97f9f84620f4eaaf72
a35ad877e9b79fdec3eb39663fc0d88dac630c
6f
2b6f17fcd93dec1d2f562fd46fe3c6273aeac5
dccc9d4e5cc422f70a750bccd1ed2aca022696
71
d705f18695528b6d1304b883c99b247559f5a4
72
f3efc8eb5abaf127389572a25e107d94253ba5
73
20905e424e956ba2ae38d43be77368f66c0d52
b8069016e58777cc3847298bf95db45d0f7ce8
77
160e373b7e72ed76cb02d1c8085b1686465761
7a
8087ecc55ea31d0900f2d829a3b0f936f3fffd
7b
c2bf737a488d3b2ed5e3e7453f06f62715b8ae
7c
adc68af393ca54eec340df8d494699a03b6c3c
80
290f8e27778f3d691e786288b04e11ddf20014
82
9ce2e2c4b11c1e1e00e9b24aae49ec111388d3
83
cb22528647bef7685a26dd9741f54e7bf39be8
84
b87d469871df6343cfcb2874b3b3dded5e65a7
c3061797e5f04651585926a1de2acaf5f07391
85
fabeb691b27ab24b5d021f4438f115de8661f7
86
7bb81475ac5fea35e0711b0ad45a9564e731e3
89
8bc82e8bf7e8427ac83ff0a5c83ff6d3abb3f6
a37b2c96f083828879840100a4b1c515b2952f
8c
266b0e136cb8099d8c1177ca4a1be122505efa
8e
83f0ece243759c7283a54962f98aa6f46fb8c2
dd17ca223ff0cb53c6eef1c086de0594f054c4
8f
d220fb80dde717d9324a2fa858a70f6e52596b
f63fb3cb44b178468ecf213fcd0b5665a1286d
90
50ea2ccba2b590f0967ed9e3312942f913b5cf
91
12fd67c705e348533206eaf57520d67f1cc8ab
bb0894914ec8d80b4245749394b7858c73f1d9
92
2ba7f2374f70a77be510277219ccdb1b449a4d
7fc6e28a6787ed42b99d5ed17a3dd6e4a8d31c
97
d1dbf09ed7d588b11fb80f29af56f5f1f07ed3
98
965aceae4017dc674ab2288719c73968186a0f
9a
6ab52ec27d72fdb1765ffc0dc96e8c7b7896ee
9d
fb8ea4fcc86cc5fbc5e125407c0f2facae106a
9e
73516cb5ae269d90a3a282c6f011aefa69f037
7481cb195b097ab4b3d3f8d40581441560af76
a0
9b6723f1b85e6fb2d0f6fab18f8a1496bf4395
a4
332880ad21fd73e4ad1820fa184b958002109a
a6
5be6e51aa44596e43f3dd9915c8ed04be05d41
a7
5f83851c266efb6b555d7956287656ed209e74
873380f1a29d3d877016f30d2a61b2172ea645
a8
54e9f82739d14afefb582b4a7fbede768cd78b
aa
5ba5ef292b3eee29ca72052e41bf2359d230a9
e092237a8bf566e72f0de4970464dcd4e3d83a
ab
0c8c46da5f87a2f45d2928efd74c06bdb05046
ad
32cceaaa87eecf49dbe70d0f773b6d14603b7e
ae
20f1c5f9cbb62feceec0d96f022f7b5e3dee91
af
807993f97579ea976a2d90a90f00d6860def48
b0
2232a61016d74b356c6fcbba9686ab8a4faeb8
3d99f5b66b426e46572e5a0626331acc3a1c93
b4441906a89b13a82325870254c65063c68e48
b1
3246f7b80142085c2ab2d0904fe94ee321d97c
b3
16c4181fc675feba5461d6f32ee6aed726fcf4
b4
25f8dfc0416a77eba2128f7e179d4d6fa2e103
b5
ce3c56902012567984165253b0e5d690ed1dac
b8
aeb0ccabdc6a00a728678a5d1ffffc94eae54a
efc7bbfb2b84d6c4bfb6dbab6788e33e2b983d
bb
de9cfb9a81277e2430e893cdab033840f234d7
bc
cc6d9de30dc5d9abd00dd0f4d4a028a90c24c8
bd
2fbedd349da61f5dd258cbb5360d06c801a1fc
b1ff8bb31169e7c1aa25e2b2a7dbfac3fdedf5
ed7021e0bc3b03c082f6996263dd41cd83d46a
be
6bcb8e938c847126b63e69cfecaf282b2db141
bf
cd6f4ed33bc2c09ee23c7375fa8088aec04f65
c0
efe4ae58c28623f4b980a93c21abe4778e4388
c1
2dd6dda3419047fd8bfafc08675e6f7524cdfd
8ff2c503f42dcbab2a02a61ffc438ff942ebad
fc95b4dfb451730f6ce2ebd0d5553dfaba88d0
c2
b4c44f1f61214a8bc9f494f7c92a14adaa70a4
c3
4bdc84d41a0acbc564f7cfb8d4e48610566ddf
c5
1aae59659f36e628f93fdd3178747ee635e9ff
97215ac7742b41a89a591d1e63e2da4d9acb48
c6
54fe9fdfc5adc6116914583acb9b3b5d3d50ec
6f3162f3d99f93745428c477cb20819aef9e16
c7
e1543041bc333e8adf92ca5e9f44db3d8536c3
cc
1413ef978bb26c5ffada800e967347929ba97e
d0
64ecd54bb18161ee87147d0fcb610d6d597ee0
cb34180dfe072af46439296b441f3356a0882c
d2
696d4aafee7f7112ea94aa813053f43edcc65a
d9437b6c07e905107bdab9cde7f52d88308dec
d5
d3806f42adcb28c92557285f04fd746fe23208
d6
16d7d2764e61c8113202ef134f757669c68e01
db
974f9c4e1065d1aa0a10507e366cbdb84049c7
dc
6e04dd5043aa812e9cddde16b831d2c318d2e2
de
b5fce714bc27eeb49c0a5b82b1f42fdc11efbd
e0
04511e2e90c24194d393cf911f93180e6dabb2
598062da3f0ea845fe5f7338c7d334575670f5
e1
d08f3a967bb6927de4c106fe423331f16f307a
e3
e48ed34f41fbe47ac27a059114c810fd61e6f1
e4
f8eea31561f34cb57463d6db1877898a6c84e7
e6
9de29bb2d1d6434b8b29ae775ad8c2e48c5391
e7
71e96481f6f4dcd9d9d4df7dae9e13eb2b15c4
e8
c012255b64c3cbf1b9a46cd7b3055e3ad80dc6
ea
1c5c57d55e80fa974396bb38f1ce844696b95c
d43141baa598c5444398ea7b1fb51df231bef0
eb
c9102b2e7305ba7cfee9b90b081cc933f84352
ec
e17e22a02f0d194f22d783f02c2fbf18d119f3
f83221820950c8a71cf4a3768227f5667e6b6c
ef
e1b414db71abcd30931af117922ff9ab39a6a5
f1
eee5393e1470c4b8728f0492d01c44f5f522e6
f6372c1ccd72b8205320690c944707bef8e6f9
f2
04292fd2c9a1b97bef34d7e7ee154e7bf13ce5
2a6bab7d39a27945f0467b9fefeac4f9f89648
f3
3c149b9be34790568aef3b0681379fb137085b
6c40ff08db760cd58fdca603d5acff36d77544
f5
f74e4c9ca53e08eb80c67869314768db084262
f8
b97ddc23d2dc6c734d5fc5312310a1a191e3be
fe
d8cfad9908ad46674f2fb748550e4cc95fbb46
refs
heads
main
remotes
origin
HEAD
main
stash
gitignore
requirements.txt
10. Text Embedding for Question and Answering
1. Introduction to Text Embedding.mp4
2. Model Hallucination.mp4
3. Document Data.mp4
4. Token Count and Pricing.mp4
5. Document Similarity and Context Injection.mp4
11. APPENDIX - Command Line
1. Command Line Basics.mp4
2. Natural Language to SQL
1. NLP to SQL - Project Overview.mp4
2. Tabular Data Set-up.mp4
3. Natural Language Request.mp4
4. Text Completion API - Parameter Overview.mp4
5. OpenAI API Call and Request Handling.mp4
3. Automatic Exam Creator
1. Automatic Exam Generation - Project Overview.mp4
2. Prompt Design.mp4
3. Generating Exam from Prompt.mp4
4. Q&A Extraction.mp4
5. Exam Simulation.mp4
6. Python Script Walkthrough.mp4
4. Automatic Recipe and Dish Image Creator
1. Introduction to Recipe Project.mp4
2. Generating Recipe Text via Completion API.mp4
3. Generating Dish Image via Image API (DALLE).mp4
4. Full Python Script Walkthrough.mp4
5. Automatic Blog Post Creator
1. Introduction to Automatic Blog Post Project.mp4
2. GitHub Page Setup.mp4
3. GitPython - Automatic Update Functions - Part One.mp4
4. GitPython - Automatic Update Functions - Part Two.mp4
5. OpenAI API Calls.mp4
6. Python Script Walkthrough.mp4
6. GPT Sentiment Analysis
1. Introduction to Reddit Sentiment Analysis.mp4
2. Reddit API Set-up.mp4
3. Reddit Comments and Titles.mp4
4. Perform Sentiment Analysis via OpenAI.mp4
7. Automatic Code Explainer - Docstrings
1. Introduction to Code Explainer.mp4
2. OpenAI API Call - Docstring.mp4
3. Merge Python function and Docstring.mp4
4. Python Script Walkthrough.mp4
8. Translation Project
1. Introduction to Translation News Summary Project.mp4
2. Scraping International Newspaper Sites.mp4
3. OpenAI Translation and Summary.mp4
9. Fine-Tuning and ChatBots
1. Introduction to Fine-Tuning and Chat Bots.mp4
2. Data Set-Up.mp4
3. Fine-Tuning Process and Price Estimation.mp4
4. Using the Fine-Tuned Model.mp4
4.1 Fine-tuned_classification.ipynb
4.2 Trouble Shooting Command Line Tool.html
Bonus Resources.txt
Torrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [ DevCourseWeb com ] Udemy - OpenAI Python API Bootcamp - Learn to use AI, GPT3, and more! Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
